Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...
Model details →meta-llama/Llama-3.2-1B-Instruct vs Qwen: Qwen3 30B A3B Thinking 2507
Qwen: Qwen3 30B A3B Thinking 2507 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step thinking. The model is designed specifically for “thinking mode,” where internal reasoning traces ar…
Model details →Side-by-side comparison
| Capability | meta-llama/Llama-3.2-1B-Instruct | Qwen: Qwen3 30B A3B Thinking 2507 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 60K | 82K | 🏆 Qwen: Qwen3 30B A3B Thinking 2507 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.03 | $0.20 | 🏆 meta-llama/Llama-3.2-1B-Instruct |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.20 | $2.40 | 🏆 meta-llama/Llama-3.2-1B-Instruct |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 Qwen: Qwen3 30B A3B Thinking 2507 |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | Yes | 🏆 Qwen: Qwen3 30B A3B Thinking 2507 |
Frequently asked questions
Is meta-llama/Llama-3.2-1B-Instruct better than Qwen: Qwen3 30B A3B Thinking 2507?
Qwen: Qwen3 30B A3B Thinking 2507 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between meta-llama/Llama-3.2-1B-Instruct and Qwen: Qwen3 30B A3B Thinking 2507?
Input: $0.03 vs $0.20 per 1M tokens. Output: $0.20 vs $2.40 per 1M tokens.
What context windows do meta-llama/Llama-3.2-1B-Instruct and Qwen: Qwen3 30B A3B Thinking 2507 support?
meta-llama/Llama-3.2-1B-Instruct supports up to 60K tokens. Qwen: Qwen3 30B A3B Thinking 2507 supports up to 82K tokens.
Do both meta-llama/Llama-3.2-1B-Instruct and Qwen: Qwen3 30B A3B Thinking 2507 support tool calling?
meta-llama/Llama-3.2-1B-Instruct: not advertised. Qwen: Qwen3 30B A3B Thinking 2507: yes.